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Soft Incomplete Discernibility Matrix for Decision-Making Problems
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DOI：10.1109/ACCESS.2018.2838318.png)
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摘要
En 中文
Many decision-making processes are determined in an incomplete data environment. The analysis of decision-making problems on incomplete soft set data is usually performed by first estimating incomplete values. In this paper, we analyze the decision-making problems of incomplete soft sets with incomplete data without turning them into complete data. We define a soft incomplete discernibility matrix and a soft parameter dominant incomplete discernibility matrix to solve the application of incomplete soft sets in decision-making problems. We focus on the classification ability of the corresponding parameter for a given incomplete soft set. The novel method maintains the original data state and successfully constructs a decision-making approach that can be applied to incomplete soft sets. Finally, the weighted soft incomplete discernibility matrix is defined for application in weighted parameter decision-making issues.
Keyword:
Incomplete soft sets
decision making
soft incomplete discernibility matrix
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期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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